Blockchain Engineer
- Posted 5 months ago
- Be among the first 10 applicants
Job Description
The Role
- Extend or customize the Geth client (or Rust-based executor) to index liquidity pools directly from on-chain state.
- Develop an EVM-based swap simulator to compare swap outcomes across multiple DEXs(Uniswap, 1inch, ParaSwap, KyberSwap).
- Implement routing algorithms (e.g., graph-based shortest path) to determine optimal swap paths.
- Build high-performance transaction builder to generate, sign, and broadcast raw transactions.
- Benchmark aggregator performance against leading API-based aggregators (1inch, Paraswap).
- Optimize system performance for low latency and scalability.
- Collaborate on building APIs or dashboards for exposing swap routes and analytics.
- You have at least 3 years experience, ideally within a Software Engineer or System Architect role.
- Proficiency in Golang and/or Rust programming.
- Deep understanding of Ethereum internals, EVM execution, and Geth client architecture.
- Experience with blockchain data parsing, state inspection, and transaction simulation.
- Strong knowledge of DeFi protocols, especially Uniswap, Curve, Balancer, and other DEXs.
- Work alongside & learn from best in class talent
- Work within a company with a solid track record of success
- Opportunity to make a positive impact
More Info
Key Skills
About Company
Skills:
Java, Rust, Solidity, Nodejs, Javascript, Python, Go, Daml
Skills:
Rust, Concurrency, Systems Programming, Transaction processing pipelines, Low-latency execution, High-performance data structures, P2P networking, Decentralized trading models, Order book matching engine, Integration with oracles, Blockchain client logic, State transition logic, Gas efficiency, Consensus algorithms
Skills:
Solidity, DeFi protocols, custody solutions, ERC-721, banking technology, tokenization standards, payments infrastructure, on-chain settlement mechanisms, EVM-compatible smart contract development, ERC-20, digital asset trading
Skills:
Python, Rust, Go, Execution, ML models, Blockchain data, On-chain execution, market microstructure